Conference item
Path reducing watershed for the GPU
- Abstract:
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The watershed transform is a popular image segmentation procedure from mathematical morphology used in many applications of computer vision. This paper proposes a novel parallel watershed procedure designed for GPU implementation. Our algorithm constructs paths of steepest descent and reduces these paths into direct pointers to catchment basin minima in logarithmic time, also crucially incorporating successful resolution of plateaux. Three implementation variants and their parameters are anal...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Accepted manuscript, pdf, 2.3MB)
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- Publisher copy:
- 10.1109/WACV.2018.00069
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- WACV18 Journal website
- Pages:
- 577-585
- Host title:
- 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
- Publication date:
- 2018-05-07
- Acceptance date:
- 2017-10-21
- DOI:
- Source identifiers:
-
738520
- ISBN:
- 9781538648865
Item Description
- Pubs id:
-
pubs:738520
- UUID:
-
uuid:3814f688-871a-4825-abcd-17454fcdc71f
- Local pid:
- pubs:738520
- Deposit date:
- 2017-10-25
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/WACV.2018.00069
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